- 2017/07/21: event full -- registrations closed!
- 2017/07/18: due to a last-minute cancellation, we have one spot available. Contact us if interested
- 2017/07/15: event full -- registrations closed!
Metabolomics is a well established -omics science whose growth is bringing about new challenges. Systematic studies and integration with other data sources are resulting in ever larger dataset sizes; production applications require superior computational scalability of analysis techniques; complex, multi-step workflows make study reproducibility more challenging.
At the same time, cloud computing technologies are extending their functionality and provide practical solutions for many of these problems.
In this School students will have the opportunity to learn about current topics in metabolomics, with a slant on the integration of cloud computing technologies where they are beneficial to the effectiveness and efficiency of research and analysis work. Top-level lecturers in the field will provide their insight and will be available for the entire duration of the school, with ample opportunity for interaction with the students. Importantly, the School will also include practical sessions where students can put their new knowledge into practice under the guidance of tutors and run analyses using the new PhenoMeNal cloud-based metabolomics platform.
Participants will learn about:
- Tools and techniques to solve computational metabolomics problems
- Standard data processing tools; statistical data analysis; metabolic network analysis
- How to assemble tools into your own workflows
- Galaxy for metabolomics; main data formats; understanding well-known workflows
- How to share your results and data with the research community
- Reproducibility and sharing of analyses and results; MetaboLights; Workflow4Metabolomics
- Using the cloud to perform these tasks
- What is Cloud computing; low-barrier access to computing infrastructure; how to use the cloud to tackle bigger experiments; cloud-based collaboration
Who should attend
The School is targeted at graduate students and early-stage researchers in metabolomics and bioinformatics. Participants should have some metabolomics experience and an interest in computational data analysis. Some scripting experience will be helpful, but not strictly required.
- Antonio Rosato - CERM, University of Florence, Italy
- Christian Frezza - University of Cambridge, UK
- Christoph Steinbeck - Universitat Jena, Germany
- Etienne Thevenot - CEA, France
- Fabien Jourdan - INRA, France
- Gianluigi Zanetti - CRS4, Italy
- Johan Trygg - Umea Universitet, Sweden
- Jules Griffin - University of Cambridge, UK
- Kristian Peters - IPB Halle, Germany
- Luca Pireddu - CRS4, Italy
- Luigi Atzori - University of Cagliari, Italy
- Marco Enrico Piras - CRS4, Italy
- Pablo Moreno - EMBL-EBI, UK
- Pedro De Atauri - University of Barcelona, ES
- Philippe Rocca-Serra - University of Oxford, UK
- Pierrick Roger-Mele - CEA, France
- Reza Salek - EMBL-EBI, UK
- Steffen Neumann - IPB Halle, Germany
The course is scheduled to begin on the afternoon of Monday Sept. 11th; Tue-Thu will be full course days, while Friday Sept. 15th will be a half day, with the course finishing at lunch time.
- Mornings: lectures
- Afternoons: practical sessions
The practical sessions will give students the opportunity to perform real computational analyses under the guidance of our tutors. Participants will be able to connect to our network with their laptops and run analyses on our reserved cloud; upon request, we can provide students with computers for the sessions – should they not be able to bring their own.
Students will have ample time to meet and speak with lecturers, especially at the coffee breaks, lunches and social events.
All participants are invited to bring a poster, if they so desire.
- The poster must be in English.
- Recommended size: 70 cm wide by 120 cm high; that’s the largest size that will fit on the poster board.
- Suitable material will be provided to attach your poster to the boards.
Posters should be put in place on Monday afternoon and removed after the last session of the School. A prize will be awarded to the best poster, as selected by a committee of lecturers.